Arief A. Suriawinata

Computer Vision and Pattern Recognition · 2005–2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arief A. Suriawinata trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Anant Madabhushi (in Artificial Intelligence)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  7. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  8. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  9. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Arief A. Suriawinata's perspective

Ordered by how strongly the researchers Arief A. Suriawinata trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Going deeper with convolutions
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Microsoft COCO: Common Objects in Context
  7. Learning Deep Architectures for AI
  8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  9. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  10. Gradient-based learning applied to document recognition

Their papers